The Smiirl API lets you interface with Smiirl counters to dynamically update and manage the display of real-time data. Leveraging Pipedream's robust integration platform, you can connect Smiirl to various data sources, triggering updates that reflect key metrics like social media followers, sales figures, or any other number that's essential to your business or personal goals.

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}